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arXiv 1002.1811astro-ph.CO
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5年WMAP数据局部曲率的非高斯性

Non-Gaussianities in the local curvature of the 5-year WMAP data

Øystein Rudjord, Nicolaas E. Groeneboom, Frode K. Hansen, Paolo Cabella

摘要:

使用5年的WMAP数据,我们重新调查索赔的非高斯性和不对称性检测的局部曲率统计的1年WMAP数据。在Hansen等人2004年的研究中,根据CMB温度图的二阶导数测试山、湖和鞍点的密度,发现北黄道半球在~1%的水平上是非高斯的。5年的WMAP数据具有更低的噪声水平和更好的系统控制。使用这些,我们发现异常仍然存在于一个一致的水平。最大非高斯性的方向也保持不变。由于计算机资源有限,Hansen等人(2004)无法计算所用卡方检验的完整协方差矩阵。在这里,我们应用完整的协方差矩阵,而不是对角近似,并发现非高斯消失,没有首选的非高斯方向。我们比较弱透镜的模拟,看看这是否可能导致观察到的非高斯性时,使用对角协方差矩阵。我们得出结论,弱透镜不产生非高斯的局部曲率统计在本文研究的尺度。在对角矩阵的情况下的非高斯检测的原因仍然不清楚。

英文摘要:

Using the 5 year WMAP data, we re-investigate claims of non-Gaussianities and asymmetries detected in local curvature statistics of the 1 year WMAP data. In Hansen et al 2004, it was found that the northern ecliptic hemisphere was non-Gaussian at the ~1% level testing the densities of hill-, lake and saddle points based on the second derivatives of the CMB temperature map. The 5 year WMAP data has a much lower noise level and better control of systematics. Using these, we find that the anomalies are still present at a consistent level. Also the direction of maximum non-Gaussianity remains. Due to limited availability of computer resources, Hansen et al. 2004 were unable to calculate the full covariance matrix for the chi^2 test used. Here we apply the full covariance matrix instead of the diagonal approximation and find that the non-Gaussianities disappear and there is no preferred non-Gaussian direction. We compare with simulations of weak lensing to see if this may cause the observed non-Gaussianity when using diagonal covariance matrix. We conclude that weak lensing does not produce non-Gaussianity in the local curvature statistics at the scales investigated in this paper. The cause of the non-Gaussian detection in the case of a diagonal matrix remains unclear.

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